Vehicle driving behavior detection and early warning system and method based on deep learning

Abstract

The invention discloses a vehicle driving behavior detection and early warning system and method based on deep learning. The system includes an information collection module, a transmission module, acontrol processing module, and an early warning module; and the method includes the following steps: firstly collecting signal source information by the information collection module; then transmitting the collected signal source information to the control processing module through the transmission module; then judging a fatigue state and behavior of a to-be-detected object by the control processing module according to the signal source information; and transmitting a obtained result of the fatigue state and behavior to the early warning module and a cloud, and performing corresponding sound and light and vibration early warning by the early warning module according to the result of the fatigue state and behavior. The system and the method combine an image recognition technology of the deep learning, a physiological signal detection algorithm and a driving behavior detection algorithm to perform multi-signal source collection, and the collection accuracy is high; and determination of fatigue and behaviors of the to-be-detected object is performed by utilizing a machine learning-based data fusion algorithm, an obtained judgment result is more accurate, and early warning is more effective and reliable.

Description

technical field [0001] The invention belongs to the field of driving behavior detection, in particular to a vehicle-mounted driving behavior detection and early warning system and method based on deep learning. Background technique [0002] With the sustained and rapid development of my country's economy and society, the total number of motor vehicles in my country has increased dramatically. By the end of 2018, the number of motor vehicles in my country reached 322 million. The rapid increase of vehicles and the increase in the mileage of highways are increasing year by year, which is also accompanied by the frequent occurrence of accidental traffic accidents. At the same time, with the accelerated pace of life of modern people, the phenomenon of staying up late, lack of exercise, irregular diet and other factors have caused modern people to be prone to fatigue and poor energy, and fatigue driving will appear subsequently. According to statistics, among the factors that a...

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Problems solved by technology

The detection algorithm based on physiological signal features has high accuracy, but it affects driving due to the contact between the sensor and the driver; the detection algorithm based on behavioral featur

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